As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

In this research article, we uphold the principles of the No Free Lunch theorem and employ it
as a driving force to introduce an innovative game-based metaheuristic technique named …

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …

In this paper, we introduced a practical version of golden section search algorithm to
optimize multi/uni-modal objective functions. Accordingly, this study presented a novel …

This paper introduces HLOA, a novel metaheuristic optimization algorithm that
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …

Since no single algorithm can provide the optimal solutions for all problems, new
metaheuristic methods are always being proposed or developed by combining current …

Many classical search and optimization algorithms are especially insufficient in solving very
hard large scale nonlinear problems with stringent constraints. Hence, computational …

An improved squirrel search algorithm (ISSA) is proposed in this paper. The proposed
algorithm contains two searching methods, one is the jumping search method, and the other …